AWS Big Data

JULY 25, 2024

To support this need, ATPCO wants to derive insights around product performance by using three different data sources: Airline Ticketing data – 1 billion airline ticket sales data processed through ATPCO ATPCO pricing data – 87% of worldwide airline offers are powered through ATPCO pricing data.

Data Lake 106

Data Lake Metadata Sales Publishing 106

datapine

JANUARY 31, 2022

As Dan Jeavons Data Science Manager at Shell stated: “what we try to do is to think about minimal viable products that are going to have a significant business impact immediately and use that to inform the KPIs that really matter to the business”. The results? 4) Improve Operational Efficiency.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Cloudera

JULY 10, 2024

Observability for your most secure data For your most sensitive, protected data, we understand even the metadata and telemetry about your workloads must be kept under close watch, and it must stay within your secured environment. To learn more, click here.

Cost-Benefit 99

Cost-Benefit Metadata Optimization Measurement 99

CIO Business Intelligence

DECEMBER 21, 2022

Having too much access across many departments, for example, can result in a kitchen full of inexperienced cooks running up costs and exposing the company to data security problems. And do you want your sales team making decisions based on whatever data it gets, and having the autonomy to mix and match to see what works best?

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

O'Reilly on Data

MARCH 31, 2020

You might have millions of short videos , with user ratings and limited metadata about the creators or content. Job postings have a much shorter relevant lifetime than movies, so content-based features and metadata about the company, skills, and education requirements will be more important in this case.

Management 363

Management Machine Learning Experimentation Metrics 363

AWS Big Data

DECEMBER 9, 2024

As organizations process vast amounts of data, maintaining an accurate historical record is crucial. History management in data systems is fundamental for compliance, business intelligence, data quality, and time-based analysis. In customer relationship management, it tracks changes in customer information over time.

Snapshot 64

Snapshot Data Warehouse Data Lake Data Quality 64

AWS Big Data

NOVEMBER 15, 2023

As the organization receives data from multiple external vendors, it often arrives in different formats, typically Excel or CSV files, with each vendor using their own unique data layout and structure. DataBrew is an excellent tool for data quality and preprocessing. For Matching conditions , choose Match all conditions.

Metadata 97

Metadata Sales Data Lake Big Data 97

Smart Data Collective

OCTOBER 13, 2021

Data Virtualization can include web process automation tools and semantic tools that help easily and reliably extract information from the web, and combine it with corporate information, to produce immediate results. How does Data Virtualization manage data quality requirements? In improving operational processes.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

Cloudera

JULY 20, 2021

Technology drives the ability to use enterprise data to make choices, decisions and investments – which then produce competitive advantage. Thousands of our customers across all industries are harnessing the power of their data in order to drive insights and innovation.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. The business end-users were given a tool to discover data assets produced within the mesh and seamlessly self-serve on their data sharing needs.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Alation

AUGUST 30, 2022

Centralization of metadata. A decade ago, metadata was everywhere. Consequently, useful metadata was unfindable and unusable. We had data but no data intelligence and, as a result, insights remained hidden or hard to come by. This universe of metadata represents a treasure trove of connected information.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

CIO Business Intelligence

JANUARY 30, 2024

Birgit Fridrich, who joined Allianz as sustainability manager responsible for ESG reporting in late 2022, spends many hours validating data in the company’s Microsoft Sustainability Manager tool. Data quality is key, but if we’re doing it manually there’s the potential for mistakes.

Reporting 116

Reporting Data Quality Strategy Data-driven 116

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Machine Learning Consulting 78

AWS Big Data

MARCH 26, 2024

In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360. reduction in sales cycle duration, 22.8% Think of the data collection pillar as a combination of ingestion, storage, and processing capabilities. Organizations using C360 achieved 43.9%

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

Ontotext

FEBRUARY 12, 2024

In a centralized architecture, data is copied from source systems into a data lake or data warehouse to create a single source of truth serving analytics use cases. This quickly becomes difficult to scale with data discovery and data version issues, schema evolution, tight coupling, and a lack of semantic metadata.

IT 64

IT Metadata Data Quality Data Lake 64

AWS Big Data

APRIL 19, 2023

Background The success of a data-driven organization recognizes data as a key enabler to increase and sustain innovation. The goal of a data product is to solve the long-standing issue of data silos and data quality. This solution solves the interoperability and linkage problem for data products.

Technology 93

Technology Data-driven Machine Learning Sales 93

AWS Big Data

JUNE 14, 2023

As our organization grew rapidly, we built new tools to scale analytical insights into our customers’ sales and delivery mechanisms. We were frustrated by the limitations of our previous business intelligence (BI) solution, which was holding us back from our vision to accelerate data sharing, team collaboration, and security within Amazon.

Dashboards 86

Dashboards KPI Scorecard Metadata 86

Alation

AUGUST 11, 2022

We chatted about industry trends, why decentralization has become a hot topic in the data world, and how metadata drives many data-centric use cases. But, through it all, Mohan says it’s critical to view everything through the same lens: gaining business value from data. Data fabric is a technology architecture.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

Ontotext

JULY 15, 2024

The generation, transmission, distribution and sale of electrical power generates a lot of data needed across a variety of roles to address reporting requirements, changing regulations, advancing technology, rapid responses to extreme weather events and more.

Contextual Data 52

Contextual Data Metadata Data Quality Publishing 52

Timo Elliott

JANUARY 5, 2022

Yves Lombaerts, Sales Manager for the Belgian market, picked up our Global Innovation Evangelist Timo Elliott for an interesting ride to SAP’s offices in Brussels. The first one is: companies should invest more in improving their data quality before doing anything else. That’s an awful waste of resources.

Digital Transformation 115

Digital Transformation Machine Learning Enterprise Data Science 115

Alation

NOVEMBER 30, 2022

Alation is the leading platform for data intelligence , delivering critical context about data to empower smarter use; to this end, it centralizes technical, operational, business, and behavioral metadata from a broad variety of sources. Imagine two data analysts are discussing a database table in Slack. In Conclusion.

Metadata 52

Metadata Data Quality Dashboards Sales 52

Alation

DECEMBER 15, 2021

On the other hand, an offensive data strategy supports business objectives. Integrating customer and market data for planning future business goals. Supporting the sales and marketing pipelines. Organizations need to balance offense and defense, and a robust data governance strategy can help. Productive reuse of metadata.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Ontotext

MAY 22, 2023

Many enterprise data and knowledge management tasks require strict agreement, with a firm deterministic contract, about the meaning of the data. Master data management (MDM), on the other hand, is focused on ensuring data quality and consistency across different systems and applications.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

AWS Big Data

FEBRUARY 1, 2023

Every day, Amazon devices process and analyze billions of transactions from global shipping, inventory, capacity, supply, sales, marketing, producers, and customer service teams. This data is used in procuring devices’ inventory to meet Amazon customers’ demands. We also used AWS Lambda for data processing.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Wayne Yaddow

FEBRUARY 18, 2025

While transformations edit or restructure data to meet business objectives (such as aggregating sales data, enhancing customer information, or standardizing addresses), conversions typically deal with changing data formats, such as from CSV to JSON or string to integertypes.

Testing 52

Testing Data Transformation Data-driven Data Quality 52

Alation

FEBRUARY 17, 2023

Discussing time-to-value, the ROI of good data use, sales growth, and cost reductions are a great set of examples to use and build confidence in your governance program. Some data seems more analytical, while other is operational (external facing). So what’s the outcome of data governance at the consumption level?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

MARCH 11, 2022

A data catalog with a Behavioral Analysis Engine will measure human behavior around data to locate your most valuable and actionable data. This data about data, AKA metadata , is an essential layer of your new meshy fabric. Again, a data catalog can automate the tedium of compliance at scale.

Metadata 52

Metadata Data Governance ROI Data Quality 52

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

AWS Big Data

MARCH 1, 2024

Use-case BMO had more than Petabyte(PB) of financial sensitive data classified as follows: Personally Identifiable Information (PII) Payment Card Industry (PCI) High Privacy Risk (HPR) The bank aims to store data in their Amazon Redshift data warehouse and Amazon S3 data lake.

Data Lake 113

Data Lake Data Warehouse Management Risk 113

Ontotext

MARCH 8, 2023

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. As such, data governance strategies that are leveraging knowledge graph solutions have increased data accessibility and improved data quality and observability at scale.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Alation

NOVEMBER 28, 2022

It’s impossible for data teams to assure the data quality of such spreadsheets and govern them all effectively. If unaddressed, this chaos can lead to data quality, compliance, and security issues. And it’s very difficult to manage these silos of data analysis.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

AWS Big Data

JUNE 6, 2023

Through its Super App, SumUp provides merchants with a free business account and card, an online store, and an invoicing solution – as well as in-person and remote payments seamlessly integrated with SumUp’s card terminals and point-of-sale registers. In the future we will add Data Quality checks with DBT.

Analytics 59

Analytics Data Lake Testing Optimization 59

AWS Big Data

AUGUST 14, 2023

Typically, organizations will select a single-threaded owner (often a data owner or steward, or a domain data owner or steward) who is responsible for defining minimal data definitions for common and reusable data entities within data domains.

Management 86

Management Risk Measurement Optimization 86

Andrew White

JANUARY 11, 2021

On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc. where performance and data quality is imperative? We cannot of course forget metadata management tools, of which there are many different.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

O'Reilly on Data

JULY 28, 2020

For example, many companies use recommendation engines to boost sales. Again, it’s important to listen to data scientists, data engineers, software developers, and design team members when deciding on the MVP. Data Quality and Standardization. There are many excellent resources on data quality and data governance.

Marketing 364

Marketing Experimentation Metrics Testing 364